The Clearinghouse on Assessment and Evaluation (Ericae.net) is a comprehensive online resource dedicated to advancing knowledge in educational assessment, evaluation, and research methodology. Whether you are a student, educator, researcher, or policymaker, Ericae provides the tools, insights, and guidance needed to understand how learning is measured—and how those measurements can be used to improve outcomes.
At its core, Ericae is built to bridge the gap between theory and practice. You’ll find foundational content that explains essential concepts like validity, reliability, and different types of assessment, alongside more advanced material covering psychometrics, data analysis, and research design. For those actively working in education, the site also offers practical strategies for classroom assessment, program evaluation, and data-driven decision-making.
Ericae goes beyond traditional content by serving as a true resource hub. Visitors can explore curated reading paths through the Assessment Library, access peer-reviewed research from the Practical Assessment, Research & Evaluation (PARE) journal, and utilize tools like the Test Locator and ERIC database guides to find high-quality academic resources. Downloadable templates, rubrics, and evaluation tools are also available to support real-world application.
As education continues to evolve, Ericae remains focused on the future—covering topics like digital assessment, artificial intelligence, equity in measurement, and responsible data use. The goal is not just to inform, but to empower users to make better decisions, design better assessments, and contribute to more effective and equitable educational systems.
Whether you’re just getting started or looking to deepen your expertise, Ericae is your trusted guide to understanding and improving educational assessment and evaluation.
Interpreting Standardized Test Scores
Learn how interpreting standardized test scores helps educators and families understand reports, make smarter decisions, and support student learning.
Using Data to Inform Instructional Decisions
Using data to inform instructional decisions helps teachers turn assessment results into timely support, better lessons, and stronger student growth.
Turning Data Into Actionable Insights
Turn data into actionable insights with a disciplined approach to assessment results, helping you make smarter decisions in education and training.
Identifying Trends in Assessment Data
Learn how identifying trends in assessment data turns scores, rubrics, and surveys into clear, defensible decisions that improve learning.
How to Analyze Student Performance Data
Learn how to analyze student performance data so assessments, attendance, and behavior trends lead to smarter teaching decisions.
What Does It Mean to Interpret Assessment Results?
Learn what it means to interpret assessment results and turn scores into clear, defensible decisions about learning, skills, and next steps.
Common Mistakes in Inferential Statistics
Avoid costly errors in inferential statistics. Learn the most common mistakes and make better decisions from sample data with more confidence.
When to Use Different Statistical Tests
Learn when to use different statistical tests with confidence. Pick the right method, avoid mistakes, and make data-driven decisions.
Assumptions of Statistical Tests Explained
Assumptions of statistical tests can make or break your results. Learn to spot violations early and avoid flawed conclusions with confidence.
Statistical Power Explained
Statistical power explained simply: learn how studies detect real effects, avoid missed findings, and make stronger, more reliable decisions.
Effect Size: What It Is and Why It Matters
Learn what effect size reveals beyond p-values—how much a result really matters—so you can judge findings clearly and make smarter decisions.
Pearson vs. Spearman Correlation
Pearson vs. Spearman correlation explained simply: learn when to use each method so you can measure relationships correctly and avoid bad conclusions
Correlation Analysis Explained
Correlation analysis explained in plain language: learn how it reveals links between variables so you can spot patterns and make smarter decisions.
Chi-Square Tests in Educational Research
Learn how chi-square tests in educational research reveal meaningful classroom patterns, helping you turn categorical data into clear insights.
One-Way vs. Two-Way ANOVA Explained
Learn one-way vs. two-way ANOVA with clear examples, when to use each test, and how to interpret results so you can make confident decisions.